Results 31 to 40 of about 2,028,751 (264)
Incremental evolution of cellular automata for random number generation [PDF]
, 2003 Cellular automata (CA) have been used in pseudorandom number generation for over a decade. Recent studies show that controllable CA (CCA) can generate better random sequences than conventional one-dimensional (1-d) CA and compete with two-dimensional (2 ...
Guan, SU, Zhang, S
core +1 more source
Quantum true random number generation on IBM’s cloud platform
Journal of King Saud University: Computer and Information Sciences, 2022 Random numbers are the lifeline of any cryptographic operation in modern computing. Quantum True Random Number Generator (QTRNG) can yield real random data to replace random-looking periodic sequences.
Vaishnavi Kumar +3 more
doaj +1 more source
Thermodynamics of random number generation
Physical Review E, 2017 We analyze the thermodynamic costs of the three main approaches to generating random numbers via the recently introduced Information Processing Second Law. Given access to a specified source of randomness, a random number generator (RNG) produces samples from a desired target probability distribution.
Aghamohammadi, C., Crutchfield, J. P.
openaire +5 more sources
PSEUDO RANDOM NUMBER GENERATION USING EYE BRIGHTNESS RESPONSE
ICTACT Journal on Communication Technology, 2018 Random numbers play an important and primary role in the use of Cryptography techniques in real time applications. The cryptographic techniques can be easily compromised if the key can be easily guessed.
T Sivakumar, T Anusha
doaj +1 more source
Quantum random number generation
, 2016 Quantum physics can be exploited to generate true random numbers, which play important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum system reveals the inherent nature of quantumness ...
Cao, Zhu +4 more
core +1 more source
Pseudo-Random Number Generation on GP-GPU [PDF]
, 2011 International audienceRandom number generation is a key element of stochastic simulations. It has been widely studied for sequential applications purposes, enabling us to reliably use pseudo-random numbers in this case.
Hill, David R.C. +2 more
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An optical chip for self-testing quantum random number generation
APL Photonics, 2020 We present an implementation of a semi-device-independent protocol of the generation of quantum random numbers in a fully integrated silicon chip. The system is based on a prepare-and-measure scheme, where we integrate a partially trusted source of ...
Nicolò Leone +9 more
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Source-device-independent heterodyne-based quantum random number generator at 17 Gbps [PDF]
, 2018 For many applications, quantum random number generation should be fast and independent from assumptions on the apparatus. Here, the authors devise and implement an approach which assumes a trusted detector but not a trusted source, and allows random bit ...
Avesani, Marco +3 more
core +3 more sources
IEEE Access, 2018 The key point of cryptography is cryptographic algorithms and keys. The random number generator is used to generate seeds and keys randomly in many cryptographic systems.
Kyungroul Lee +3 more
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Pseudo-random number generation with -encoders
International Journal of Mathematics for IndustryThe [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number ...
Charlene Kalle +2 more
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